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- [ ] Send input setting to variogram estimation endpoint
- [ ] Run variogram estimation with input settings
- [ ] Save variogram results
- [ ] Present variogram results
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This probably deserves it's own thread.
In many situations an useful and an already used technique in the kriging community, is the [`local variogram` model](http://sydney.edu.au/agriculture/pal/so…
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# Context
When using xdem errors and other types of information are displayed via `print`. The use of the logging module is more relevant, especially with the arrival of the CLI. This ticket, there…
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# Hurray! PyKrige is now part of the GeoStat-Framework
Now we have to think about, how to smoothly integrate PyKrige into this Framework and how to organize the coexistence with [GSTools](https://g…
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Hey there,
just noticed this repo and directly thought: Why not work together. We just started a rust project to re-implement the cython parts of [GSTools](https://github.com/GeoStat-Framework/GSTo…
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I really like the pace of this project and I am really thankful that @LSchueler started this and @adamreichold jumped in and already put so much work into speeding this up. I didn't have the time to t…
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Hello Edzer, thank you very much for gstat! I apologize beforehand for my poor english and for my short R experience (I learned it one week ago).
I think my question is relatively simple. I want to d…
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I am wondering if its possible to generate a variogram using haversine/great-circle as the distance metric? This doesn't seem to be supported by scipy.spatial.distance.pdist but would be helpful for w…
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In line with code reorganization in issue #33 , I was wondering what's your opinion on data pipelines. I could be wrong but, I looks like what the current OridnaryKrigging etc.. could be separated in…
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There are assumptions built into the station calculations (P2_Indices) that all stations have all 30 years of the user-defined reference period. The implications for the NCMP indices are:
- NCMP 1 …